SCAYLE Commerce Engine Logo

SCAYLE Commerce Engine

Senior Technical Support Engineer - Customer Support (all genders)

Posted 3 Days Ago
In-Office or Remote
Hiring Remotely in New York, NY
Senior level
In-Office or Remote
Hiring Remotely in New York, NY
Senior level
Investigates enterprise customer issues across distributed SaaS services using logs, traces, metrics, code, and SQL. Manages support tickets, communicates with customers, escalates reproducible issues to engineering, and develops documentation, playbooks, and runbooks. Owns a technical domain, analyzes recurring failures, supports incident response and on-call rotations, applies AI tooling, and mentors team members.
The summary above was generated by AI
Company Description

SCAYLE is one of the fastest-growing enterprise commerce platforms in the world, enabling brands and retailers to realize their D2C ambitions. SCAYLE stands for innovation, international collaboration, and a strong focus on data. We believe that stepping outside of our comfort zone and making bold decisions is key to growing both professionally and personally. Instead of seeing problems as obstacles, we approach them as opportunities to find better solutions. We work in an environment that encourages flexibility, creativity, and continuous development. What drives us is the shared motivation to make an impact and actively shape the future of eCommerce.

Job Description

  • Investigate technical issues reported by enterprise customers - analyse symptoms, form hypotheses, follow the evidence to the root cause
  • Use observability tooling (Datadog logs, traces, metrics, dashboards) to diagnose issues across distributed services
  • Read code across multiple repositories to verify hypotheses and trace request flows
  • Query databases when needed to confirm system state and reproduce issues
  • Manage tickets through their full lifecycle, from intake to resolution, across the support → engineering escalation chain
  • Communicate proactively and professionally with enterprise customers: structured updates, clear next steps, calibrated expectation management
  • Partner with engineering teams when escalation is needed - frame issues clearly, provide reproducible evidence, advocate for customer impact
  • Document findings, contribute to internal knowledge bases, and surface recurring patterns to drive systemic improvements
  • Participate in rotational on-call coverage for high-severity incidents (evenings, weekends), supporting our enterprise customers when issues cannot wait until business hours
  • Take ownership of a technical domain within the platform and act as the reference point for the team in that area
  • Develop and maintain investigation playbooks, runbooks, escalation paths, and knowledge base content the team relies on
  • Analyse recurring failure patterns to drive platform improvements, and advocate for customer-impacting fixes by framing systemic risk and business impact to product and platform teams
  • Apply AI tooling to our daily work -  evaluate tools and agents, identify where they add leverage, and share what works with the team
  • Support the onboarding of new team members and help raise the standard for technical investigation and customer communication

Qualifications

  • 5+ Years: Hands-on technical support or systems engineering in a complex B2B SaaS or enterprise environment
  • Proven experience supporting enterprise (B2B) customers, ideally in a SaaS or cloud-based product environment
  • Experience improving how a support team works: documentation, playbooks, processes, quality standards
  • Experience supporting or mentoring less experienced colleagues
  • Comfortable reading server-side code in at least one language to trace logic and verify code paths
  • Hands-on experience with observability and central logging tooling - Datadog preferred; familiarity with central logging platforms (Kibana / OpenSearch / Elasticsearch or similar) is a strong plus
  • Comfortable searching logs, reading distributed traces, querying metrics
  • Solid SQL skills -  able to query relational databases to verify system state, reproduce issues, and understand data models
  • Working knowledge of distributed systems concepts - async vs. synchronous communication, queues, retries, idempotency, eventual consistency
  • Comfort with HTTP and API debugging -  curl, response headers, status codes, basic DNS, REST and webhook flows
  • Familiarity with cloud-based, multi-tenant SaaS architectures -  understanding tenant isolation and configuration delivery is a strong advantage
  • Hands-on with AI tooling -  you already use AI in your daily work and have gone beyond typing into a chat window: built an agent, automated a workflow, written something against an API, or experimented seriously in your own time

Nice to Have

  • Experience reading PHP -  our platform is largely PHP, so this will help you get up to speed faster
  • Experience in e-commerce or digital commerce platforms (storefront, checkout, payments, catalog, order management)
  • Prior incident management or major-incident response experience.
  • Familiarity with PSP integrations, OMS, PIM, or search platforms

Additional Information

All your information will be kept confidential according to EEO guidelines.

Your perks at a glance: Visit our benefits page.

Simply apply online via our career page - we will get back to you as soon as possible!
(Please note that benefits may vary depending on the location)

A Place Where You Can Be You
We take it as our responsibility to create an environment where everyone feels welcome, exactly as they are.
Different backgrounds and perspectives make us stronger and shape our culture in ways that matter.
What we stand for internally, we stand for as a brand: acceptance, inclusion, and fairness.

Similar Jobs

3 Minutes Ago
In-Office or Remote
92K-164K Annually
Mid level
92K-164K Annually
Mid level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Supports Epic claims and remittance systems within a revenue cycle IT team. Responsibilities include configuring, testing, maintaining, and troubleshooting Epic PB and HB workflows; supporting upgrades, implementations, production incidents, and on-call operations; translating business requirements into specifications; maintaining documentation; facilitating stakeholder sessions; and ensuring compliant system changes and reliable data flow.
Top Skills: EdiEpic EmrEpic Resolute Hb Claims And RemittanceEpic Resolute Pb Claims And RemittanceExcelMicrosoft TeamsMicrosoft WordServicenow
4 Minutes Ago
In-Office or Remote
113K-193K Annually
Senior level
113K-193K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads provider network development and contracting for competitive, stable, affordable healthcare networks. Negotiates provider agreements, evaluates contract performance, applies reimbursement and incentive models, analyzes financial and market data, and develops network and contracting strategies. Maintains relationships with skilled nursing facilities and business partners while supporting Medicare, managed care, employer, individual, community, and state products. The role requires network management, medical cost, provider contracting, financial modeling, and reimbursement expertise, with remote work during EST hours and travel to New York.
8 Minutes Ago
In-Office or Remote
Senior level
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead planning and delivery of NY APD infrastructure modernization and operations. Coordinate system and database administration teams and vendors, manage project plans, risks, and schedules, and oversee ServiceNow incident/problem management. Drive capacity planning, security and compliance (HIPAA), SLA and performance monitoring, executive reporting, and infrastructure support for MPI, provider index, data platforms, submitter onboarding, and public portal components.
Top Skills: Business IntelligenceCloud TechnologiesData AnalyticsData WarehousingDatabase PlatformsDevOpsEdiHipaaHl7Master Patient IndexMaster Provider IndexMonitoring ToolsServicenow

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account